8/11/2023 0 Comments Blur qr code video star![]() ![]() ![]() ![]() The QR code campaign has been disabled for some reason Consider the distance from where you are scanning the QR code Invalid QR code or the URL where the QR code links to is deleted or no longer exists 12 reasons why your QR code is not working.If (slope > 5 || slope = 0.0) & (pd2 > 0.0))Ĭv_updateCorner(contours, W, dmax, M1) Ĭv_updateCorner(contours, Z, dmax, M0) įor (int i = 0 i = halfx) & (contours.y halfx) & (contours. threshold(qr_gray, qr_thres, 0, 255, CV_THRESH_OTSU) Ĭircle(traces, Point(10, 20), 5, Scalar(0, 0, 255), -1, 8, 0) Įlse if (slope > contours, int c_id, float slope, vector& quad) Threshold(qr_gray, qr_thres, 127, 255, CV_THRESH_BINARY) WarpPerspective(image, qr_raw, warp_matrix, Size(qr.cols, qr.rows)) ĬopyMakeBorder(qr_raw, qr, 10, 10, 10, 10, BORDER_CONSTANT, Scalar(255, 255, 255)) Warp_matrix = getPerspectiveTransform(src, dst) If (src.size() = 4 & dst.size() = 4) // Failsafe for WarpMatrix Calculation to have only 4 Points with src and dst Int iflag = getIntersectionPoint(M, M, O, O, N) ĭst.push_back(Point2f(qr.cols, qr.rows)) dst - Destination Points to transform overlay imageĬv_getVertices(contours, top, slope, tempL) Ĭv_getVertices(contours, right, slope, tempM) Ĭv_getVertices(contours, bottom, slope, tempO) Ĭv_updateCornerOr(orientation, tempL, L) // Re-arrange marker corners w.r.t orientation of the QR codeĬv_updateCornerOr(orientation, tempM, M) // Re-arrange marker corners w.r.t orientation of the QR codeĬv_updateCornerOr(orientation, tempO, O) // Re-arrange marker corners w.r.t orientation of the QR code Vector src, dst // src - Source Points basically the 4 end co-ordinates of the overlay image If (top 10 & contourArea(contours) > 10 & contourArea(contours) > 10) To ensure any unintended values do not sneak up when QR code is not present Determine the 'right' and 'bottom' markersĮlse if (slope 0 & dist 0) // Orientation - SouthĮlse if (slope > 0 & dist > 0) // Orientation - West Now that we have the orientation of the line formed median1 & median2 and we also have the position of the outlier w.r.t. Slope = cv_lineSlope(mc, mc, align) // Also calculate the slope of the longest side ![]() Vertex of the triangle NOT involved in the longest side is the 'outlier'ĭist = cv_lineEquation(mc, mc, mc) // Get the Perpendicular distance of the outlier from the longest side We have found the 3 markers for the QR code Now we need to determine which of them are 'top', 'right' and 'bottom' markers If (mark >= 3) // Ensure we have (atleast 3 namely A,B,C) 'Alignment Markers' discovered Get Moments for all Contours and the mass centersĮlse if (mark = 1) B = i // i.e., A is already found, assign current contour to BĮlse if (mark = 2) C = i // i.e., A and B are already found, assign current contour to C Mark = 0 // Reset all detected marker count for this frame Qr_thres = Mat::zeros(100, 100, CV_8UC1) Ĭapture > image // Capture Image from Image InputĬvtColor(image, gray, CV_RGB2GRAY) // Convert Image captured from Image Input to GrayScaleĬanny(gray, edges, 100, 200, 3) // Apply Canny edge detection on the gray imageįindContours(edges, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE) While (key != 'q') // While loop to query for Image Input frame Int mark, A, B, C, top, right, bottom, median1, median2, outlier įloat AB, BC, CA, dist, slope, areat, arear, areab, large, padding Vector pointsseq //used to save the approximated sides of each contour Void cv_updateCornerOr(int orientation, vector IN, vector &OUT) īool getIntersectionPoint(Point2f a1, Point2f a2, Point2f b1, Point2f b2, Point2f& intersection) Void cv_updateCorner(Point2f P, Point2f ref, float& baseline, Point2f& corner) Void cv_getVertices(vector > contours, int c_id, float slope, vector& X) According to you where is the problem?įloat cv_distance(Point2f P, Point2f Q) // Get Distance between two pointsįloat cv_lineEquation(Point2f L, Point2f M, Point2f J) // Perpendicular Distance of a Point J from line formed by Points L and M Solution to equation of the line Val = ax+by+cįloat cv_lineSlope(Point2f L, Point2f M, int& alignement) // Slope of a line by two Points L and M on it Slope of line, S = (x1 -x2) / (y1- y2) I believe that the problem is some parameters, but i can't find it. The problem is that the code is able to recognize only the qr codes well visible, while the qr codes that it must recognize are blurred. I'm trying to extrapolate from a video stream, some QR codes that have been modified to not be easily recognizable. ![]()
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